Eitan Lees
Senior AI ML Engineer at Fidelity Investments
Raleigh, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolEitan Lees is a Senior AI/ML Engineer with 11 years of experience who transitioned from a PhD in Scientific Computing to building production machine learning and data engineering solutions at Fidelity. He combines a physicist’s rigor in computational modeling with practical expertise in anomaly detection, intelligent document processing, and scalable data pipelines. An active open-source contributor, he has expanded Python visualization tooling through substantive examples for the widely used Altair library, reflecting a focus on making complex data more accessible. Comfortable across research, cloud, and full-stack development, he has delivered end-to-end ML systems for both enterprise and local-business use cases. Based in Raleigh, NC, he brings a habit of clean, well-documented code rooted in academic model reduction and computational physics.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD) Scientific Computing, Doctor of Philosophy (PhD) Scientific Computing at Florida State UniversityBachelor of Science (B.S.) Physics, Bachelor of Science (B.S.) Physics at Appalachian State UniversityMaster's degree Physics, Master's degree Physics at Miami University
English
Stackoverflow
1,294reputation
89kreached
20answers
10questions
Github Skills (15)
data-visualizations10
data-visualization10
data-visualisation10
vega-lite10
altair10
python10
pandas9
data-manipulation9
legend6
visualization6
label6
spacing6
axis6
plot6
matplotlib6
Programming languages (7)
Github contributions (5)
vega/altair
Feb 2018 - Sep 2020
Declarative visualization library for Python
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:2 reviews, 103 commits, 66 PRs in 2 years 7 months
Contributions summary:Eitan primarily contributed to the development of examples for the Altair library, a declarative visualization library for Python. Their work involved creating and modifying example charts, including multi-series line charts, stacked bar charts, and scatter plots. They also implemented new examples for diverse visualization types, indicating a focus on expanding the library's capabilities and showcasing its features.
visualization-librarypythondeclarativestatisticalmatplotlib
FSUSciComp/prelims
May 2016 - Mar 2021
Prelims and solutions
Contributions:42 commits, 1 PR, 7 pushes in 4 years 10 months
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